Frameworks

Zipline vs Backtrader

For a new project, Backtrader is easier to install and still works on current Python. Zipline is worth it mainly for its Pipeline API and for following books that use it, through a maintained community fork.

Side by side

ZiplineBacktrader
CategoryBacktesting librariesBacktesting libraries
What it isQuantopian's event-driven backtester with the Pipeline API; the original repository is no longer maintained.Event-driven Python backtesting and live-trading library with a large community.
Best forFollowing older tutorials and books that use it, and cross-sectional equity factor research.Learning backtesting, strategies with complex order logic, and porting rule-based systems such as MT4/MT5 Expert Advisors.
LanguagePythonPython
LicenseApache-2.0GPL-3.0
GitHub stars20.2k23.7k
Last commit2024-02-132024-08-19
Latest release——
StatusInactiveInactive

GitHub statistics as of 2026-11-10. Status: active = commits in the last 90 days, slowing = in the last year, inactive = older, archived = read-only.

Strengths · Limitations

Zipline

Strengths

  • Pipeline API for factor research
  • Realistic daily equity simulation
  • Lots of historical learning material

Limitations

  • Original repository unmaintained; installation is painful
  • Data bundles need setup work
  • Not suited to crypto or forex

Backtrader

Strengths

  • Realistic event-driven simulation: orders, stops, partial fills, commissions
  • Huge amount of examples and community answers
  • Multiple data feeds and timeframes in one strategy

Limitations

  • Slow for large parameter sweeps compared with vectorized libraries
  • No longer actively developed; plotting can break with newer Matplotlib
  • Live-trading brokers are dated

Which one to choose

For a new project, Backtrader is easier to install and still works on current Python. Zipline is worth it mainly for its Pipeline API and for following books that use it, through a maintained community fork.

All frameworks · Descriptions are our own summary and may lag behind each project's documentation. Check the project's license before using it in a product. Nothing here is investment advice.

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